● Analyze large amounts of information to discover trends and patterns.
● Identify valuable data sources and automate collection processes.
● Present information using data visualization techniques.
● Work with customers’ data and model their behavior.
● Deliver projects from start to end, such as idea generation, project definition, implementation, testing, and deployment.
Requirements
● Bachelor’s degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related quantitative field with at least 1 year of relevant experience.
● Motivated, passionate about learning, communication, and presentation skills.
● Familiarity or fluency in R/ Python.
● Excellent knowledge of data generation and analysis tools especially SQL and Excel.
● Having a basic knowledge of machine learning, statistics, and data mining.
● Full understanding of the processes of data quality, data cleansing, and data transformation.
● Familiarity or fluency in Docker and related technologies is a plus.